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Payton, David W.; Daily, M.; Estowski, Regina; Howard, Michael D.; Lee, Craig

doi:10.1023/a:1012411712038

Cited by 264 publications

(78 citation statements)

References 13 publications

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“…The aim of real-robot experiments within these works is to show that the proposed collective behavior is realizable. Examples of this kind of experiment can be found in the works by Payton et al (2001) and Spears et al (2004). In the other category, instead, several runs are executed and data are gathered to be analyzed for comparison with simulated runs or to show properties of the system.…”

Section: Real-robot Analysismentioning

confidence: 99%

Swarm robotics: a review from the swarm engineering perspective

et al. 2013

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Swarm robotics is an approach to collective robotics that takes inspiration from the self-organized behaviors of social animals. Through simple rules and local interactions, swarm robotics aims at designing robust, scalable, and flexible collective behaviors for the coordination of large numbers of robots. In this paper, we analyze the literature from the point of view of swarm engineering: we focus mainly on ideas and concepts that contribute to the advancement of swarm robotics as an engineering field and that could be relevant to tackle real-world applications. Swarm engineering is an emerging discipline that aims at defining systematic and well founded procedures for modeling, designing, realizing, verifying, validating, operating, and maintaining a swarm robotics system. We propose two taxonomies: in the first taxonomy, we classify works that deal with design and analysis methods; in the second taxonomy, we classify works according to the collective behavior studied. We conclude with a discussion of the current limits of swarm robotics as an engineering discipline and with suggestions for future research directions.

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Section: Real-robot Analysismentioning

confidence: 99%

Swarm robotics: a review from the swarm engineering perspective

et al. 2013

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“…This is different from most of previous works, where all robots are involved in solving a single task cooperatively (e.g. collaboratively guide one robot to a destination [12,11]). …”

Section: Introductionmentioning

confidence: 62%

Wireless Communications for Distributed Navigation in Robot Swarms

Gianni

Ducatelle

Gambardella

2009

Lecture Notes in Computer Science

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Abstract. We consider a swarm of robots equipped with an infrared range and bearing device that is able both to make estimates of the relative distance and angle between two robots in line-of-sight and to transfer data between them. Through the infrared range and bearing device, the robots create a line-of-sight mobile ad hoc network. We investigate different ways to implement a swarm-level distributed navigation function exploiting the routing information gathered within this network. In the scenario we consider, a number of different events present themselves in different locations. To be serviced, each event requires that a robot with the appropriate skills comes to its location. We present two swarm-level solutions for guiding the navigation of the selected robots towards the events. We use a bio-inspired ad hoc network routing protocol to dynamically find and maintain paths between a robot and an event location in the mobile line-of-sight network, and use them to guide the robot to its goal. The performance of the two approaches is studied in a number of network scenarios presenting different density, mobility, and bandwidth availability.

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“…Moreover, that work was not concerned with adaptive path finding. One other work that employs robots to store pheromone is [8]. Also they do not study adaptive path learning.…”

Section: Related Workmentioning

confidence: 99%

Cooperative Stigmergic Navigation in a Heterogeneous Robotic Swarm

Ducatelle

Gambardella

2010

From Animals to Animats 11

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Abstract. We study self-organized cooperation in a heterogeneous robotic swarm consisting of two sub-swarms. The robots of each sub-swarm play distinct roles based on their different characteristics. We investigate how the swarm as a whole can solve complex tasks through a self-organized process based on local interactions between the sub-swarms. We focus on an indoor navigation task, in which we use a swarm of wheeled robots, called foot-bots, and a swarm of flying robots that can attach to the ceiling, called eye-bots. Foot-bots have to move back and forth between a source and a target location. Eye-bots are deployed in stationary positions against the ceiling, with the goal of guiding foot-bots. We study how the combined system can find efficient paths through a cluttered environment in a distributed way. The key component of our approach is a process of mutual adaptation, in which foot-bots execute instructions given by eye-bots, and eye-bots observe the behavior of foot-bots to adapt the instructions they give. The system is based on pheromone mediated navigation of ant colonies, as eye-bots function as stigmergic markers for foot-bots. Through simulation, we show that the system finds feasible paths in cluttered environments, converges onto the shortest of two paths, and spreads over different paths in case of congestion.

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Untitled

Cited by 264 publications

References 13 publications

Swarm robotics: a review from the swarm engineering perspective

Swarm robotics: a review from the swarm engineering perspective

Wireless Communications for Distributed Navigation in Robot Swarms

Cooperative Stigmergic Navigation in a Heterogeneous Robotic Swarm

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